Estimating soil water content in a thorny forest ecosystem by time‐lapse electrical resistivity tomography (ERT) and HYDRUS 2D/3D simulations

Author:

Faúndez Urbina Carlos A.1ORCID,Alanís Daniel Cabrera2,Ramírez Elizabeth3,Seguel Oscar4,Fustos Ivo J.5ORCID,Donoso Pablo Díaz2,de Miranda Jarbas Honorio6,Rakonjac Nikola78,Palma Sebastián Elgueta910ORCID,Galleguillos Mauricio1112

Affiliation:

1. Escuela de Agronomía, Facultad de Ciencias Agronómicas y de los Alimentos Pontificia Universidad Católica de Valparaíso, San Francisco S/N Quillota Chile

2. Departamento de Agro‐Geofísica Aquadetect Curicó Chile

3. Facultad de Ciencias Fisicas y Matematicas Universidad de Chile Santiago Chile

4. Facultad de Ciencias Agronómicas Universidad de Chile Santiago Chile

5. Departamento de Ingeniería en Obras Civiles, Facultad de Ingeniería y Ciencias Universidad de La Frontera Temuco Chile

6. Departamento de Engenharia de Biossistemas (LEB) Universidade de São Paulo, Escola Superior de Agricultura “Luiz de Queiroz” (ESALQ, USP) Piracicaba Brazil

7. Soil Physics and Land Management Group Wageningen University Wageningen The Netherlands

8. Laboratory of Ecohydrology École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland

9. Facultad de Medicina Veterinaria y Agronomía Universidad de las Américas Santiago Chile

10. Núcleo en Ciencias Ambientales y Alimentarias (NCAA) Universidad de las Américas Santiago Chile

11. Facultad de Ingeniería y Ciencias Universidad Adolfo Ibañez Peñalolen Chile

12. Center for Climate and Resilience Research (CR2) Universidad de Chile Santiago Chile

Abstract

AbstractDetermination of soil volumetric water content in forest ecosystems is particularly challenging due to deep rooting systems and unknown soil vertical and spatial heterogeneity. This research aims to test two undisturbed methods, electrical resistivity tomography (ERT) and HYDRUS 2D/3D, for 2D determination in a thorny forest ecosystem. The experiment consisted of infiltrating 10 L of water lasting 60 min. During infiltration, ERT measured apparent resistivity by time‐lapse measurements, and was measured with an FDR probe (EnviroSCAN) at 33, 63, 83, 97, and 163 cm depth close to the infiltration site. At the end of infiltration, a soil pit was dug, and 100 measurements of were performed with a TDR in a 10 × 10 cm regular grid. Archie law transformed soil resistivity (ERT) into using manual calibration, verified by an independent dataset. The 2D profile obtained by ERT was qualitatively compared with the HYDRUS 2D/3D one. HYDRUS 2D/3D was parametrized with calibrated parameters obtained with HYDRUS 1D using 106 days of obtained with EnviroSCAN. The results of HYDRUS 1D calibration and verification were satisfactory, with RMSE and Nash‐Sutcliffe coefficients ranging from 0.021 to 0.034 cm3 cm−3 and 0.11 to 0.77, respectively. The forward HYDRUS 2D/3D simulation disagrees with EnviroSCAN data for 33 cm depth. However, it follows the trend with near to zero variation of water content at 63 cm depth. Water content determination by ERT was satisfactory with RMSE for calibration and verification of 0.017 and 0.021 cm3 cm−3. HYDRUS 2D/3D and ERT comparisons were not equal, with a shallower wetting front by ERT and a deeper one for HYDRUS. Still, both wetting fronts agree with the wetting depth estimated by EnviroSCAN. We conclude that both methods are an alternative for determination in heterogeneous and deep soils of forest ecosystems.

Funder

FONDECYT

Publisher

Wiley

Subject

Water Science and Technology

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